{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32f0e373",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:11.094755Z",
     "iopub.status.busy": "2023-03-09T11:04:11.094344Z",
     "iopub.status.idle": "2023-03-09T11:04:12.380000Z",
     "shell.execute_reply": "2023-03-09T11:04:12.378474Z"
    },
    "id": "-RHZi37KcdV_",
    "papermill": {
     "duration": 1.299167,
     "end_time": "2023-03-09T11:04:12.383159",
     "exception": false,
     "start_time": "2023-03-09T11:04:11.083992",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# import library\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9aa7a748",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:12.400957Z",
     "iopub.status.busy": "2023-03-09T11:04:12.400493Z",
     "iopub.status.idle": "2023-03-09T11:04:12.852028Z",
     "shell.execute_reply": "2023-03-09T11:04:12.850577Z"
    },
    "id": "rQ2l1b5adNzg",
    "papermill": {
     "duration": 0.464341,
     "end_time": "2023-03-09T11:04:12.855554",
     "exception": false,
     "start_time": "2023-03-09T11:04:12.391213",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# import data\n",
    "economicofscale = pd.read_csv('https://github.com/ybifoundation/Dataset/raw/main/Economy%20of%20Scale.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97c42f36",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:12.873232Z",
     "iopub.status.busy": "2023-03-09T11:04:12.872166Z",
     "iopub.status.idle": "2023-03-09T11:04:12.904171Z",
     "shell.execute_reply": "2023-03-09T11:04:12.902522Z"
    },
    "id": "rHGYEesjxuc1",
    "outputId": "36411756-6ef2-475b-b4cd-446f43ae55e7",
    "papermill": {
     "duration": 0.044227,
     "end_time": "2023-03-09T11:04:12.907187",
     "exception": false,
     "start_time": "2023-03-09T11:04:12.862960",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Units</th>\n",
       "      <th>Cost</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>95.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.2</td>\n",
       "      <td>96.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.2</td>\n",
       "      <td>73.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.2</td>\n",
       "      <td>95.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.3</td>\n",
       "      <td>98.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Units  Cost\n",
       "0    1.0  95.1\n",
       "1    1.2  96.5\n",
       "2    1.2  73.7\n",
       "3    1.2  95.6\n",
       "4    1.3  98.8"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "economicofscale.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe580771",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:12.925398Z",
     "iopub.status.busy": "2023-03-09T11:04:12.924833Z",
     "iopub.status.idle": "2023-03-09T11:04:12.953554Z",
     "shell.execute_reply": "2023-03-09T11:04:12.951866Z"
    },
    "id": "HumhWNBcxuih",
    "outputId": "4dc234df-b096-45fd-aa49-1f81e4991725",
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 2 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   Units   1000 non-null   float64\n",
      " 1   Cost    1000 non-null   float64\n",
      "dtypes: float64(2)\n",
      "memory usage: 15.8 KB\n"
     ]
    }
   ],
   "source": [
    "economicofscale.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8dccbf67",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:12.975463Z",
     "iopub.status.busy": "2023-03-09T11:04:12.974035Z",
     "iopub.status.idle": "2023-03-09T11:04:12.999642Z",
     "shell.execute_reply": "2023-03-09T11:04:12.998195Z"
    },
    "id": "RLLgOIMix3A-",
    "outputId": "a8a7feb9-4829-4d5e-f3be-e5d989a2be05",
    "papermill": {
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     "exception": false,
     "start_time": "2023-03-09T11:04:12.964415",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Units</th>\n",
       "      <th>Cost</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.471500</td>\n",
       "      <td>40.053200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.336437</td>\n",
       "      <td>10.596183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.600000</td>\n",
       "      <td>32.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.400000</td>\n",
       "      <td>38.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.300000</td>\n",
       "      <td>44.525000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Units         Cost\n",
       "count  1000.000000  1000.000000\n",
       "mean      4.471500    40.053200\n",
       "std       1.336437    10.596183\n",
       "min       1.000000    20.000000\n",
       "25%       3.600000    32.900000\n",
       "50%       4.400000    38.300000\n",
       "75%       5.300000    44.525000\n",
       "max      10.000000   100.000000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "economicofscale.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4647fb0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:13.023316Z",
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     "iopub.status.idle": "2023-03-09T11:04:14.256055Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fd8a133fdd0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 500x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(economicofscale)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a5637257",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:14.278644Z",
     "iopub.status.busy": "2023-03-09T11:04:14.278166Z",
     "iopub.status.idle": "2023-03-09T11:04:14.532802Z",
     "shell.execute_reply": "2023-03-09T11:04:14.531383Z"
    },
    "id": "l96Ea8bChtvR",
    "outputId": "815aebda-1c6d-4e70-bbd4-55f1c11041ea",
    "papermill": {
     "duration": 0.267698,
     "end_time": "2023-03-09T11:04:14.535515",
     "exception": false,
     "start_time": "2023-03-09T11:04:14.267817",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Units'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lxerSAADoEd+S6xe+e4by+n25o29URIQyktkUrztsHWYef/xx5ebm6rnnnvNfGzx4sHUFAQDQTQcP16vkwJE21+oavaqpb5Ikjc1LUXyMrX8d256te2/RokW68MILdc0112jp0qXKzs7WjBkz9L3vfa/TZ+rr61VfX+//ubq6OhSlAgDQTl1js85/cqkqahs7vJ+WEEOQCQJbz5nZvn275s2bp6FDh+of//iHbrnlFt1+++36wx/+0OkzRUVF8ng8/q/c3NwQVgwAwJd2HqxVRW2jIiNcyu+f0OZrSP8E3XL2EKtL7BNcxhhz4mbWiImJ0YQJE7RixQr/tdtvv12rV6/WypUrO3ymo5GZ3NxcVVVVKTk5uddrBgDA571Pv9DNv1+jEQOT9fdZX7e6HEeprq6Wx+Pp0u9vW49tDRw4UCNGjGhzbfjw4Vq4cGGnz7jdbrndTJwCAITGjgNH9NeP96jJ235s4JOylqkOLLXuXbYOM5MnT9aWLVvaXNu6dasGDWIjIQCAPTywaJOWbd1/3DaDj1mthOCzdZj50Y9+pEmTJunRRx/VN7/5Ta1atUrPPvusnn32WatLAwBAkvR5+WFJ0iWjMpWWENPufnxMlP5zSn6oyworAYWZt956S4mJiZoyZYok6emnn9b8+fM1YsQIPf3000pNTQ1KcRMnTtRrr72me++9Vw899JDy8/M1Z84c3XDDDUH5fAAAeqKp2at91XWSpAcuG6lMT6zFFYWngCYAjxo1So8//rguueQSbdy4URMnTlRhYaHee+89DR8+vM2+MFbrzgQiAACOZ+nW/Zr3/jY1Nbf86mz0Gm0orVR0pEtbHr5YEREuiyvsO3p9AnBJSYl/Yu7ChQt12WWX6dFHH9XatWt1ySWXBPKRAADY3rz3t+nD7YfaXR8+MJkgY6GAwkxMTIxqa2slSe+8845uuukmSVJaWhqb1AEA+qzSQy1HENx90TDl9/dN6nVpwuDgTK9AYAIKM1OmTFFhYaEmT56sVatW6eWXX5bUstIoJycnqAUCABAqzV6jxtbDHr/Ka4x/fsxV47I00MNya7sIKMzMnTtXM2bM0CuvvKJ58+YpOztbkvTmm2/qoosuCmqBAACEwp7Ko7r8qeU6eKThuO2iIlxKT2Kir50EFGby8vL017/+td31X/ziFz0uCAAAK3xUcvCEQUaSLhiRoUjmx9hKQGEmMjJSe/fuVXp6epvrBw8eVHp6upqbm4NSHAAAoVJW0TIf5qqxWXr4qoJO2yW6bb1FW1gK6J9IZ6u56+vrFRPTfsMgAABCrdlrVLyzQjV1HZ9Y/VVrdlZIkgb1S1BSbHRvloYg61aY+dWvfiVJcrlc+u1vf6vExET/vebmZi1btkzDhg0LboUAAARg4drduuuVj7v9XA7nKDlOt8KMb06MMUbPPPOMIiMj/fdiYmI0ePBgPfPMM8GtEACAAHxSViVJykyOVUYXd+YdkBijC0Zk9GZZ6AXdCjMlJSWSpHPPPVevvvpq0I4tAAAg2HxzYGaed7JuOIMDivuygObMLFmyJNh1AABwXAuLd+uTPVVdbr9hd0vb7BReG/V1XQ4zhYWFevjhh5WQkKDCwsLjtn3yySd7XBgAAD57q47qx3/eENCzQ/onnrgRHK3LYWbdunVqbGz0f98Zl4u19wCA4NpxoOUInX4JMbr29NwuP3dKRpLy+sWfuCEcrcth5thXS7xmAgCEUllly/yX4QOTdeeFrJpFW+z8AwCwhYOH63XbC+t04HB9u3sVtS1vBpj/go4EFGaOHDmixx57TO+++67Ky8vl9bY9lGv79u1BKQ4AED7e/bRcK7cfPG6b0bmeEFUDJwkozHz3u9/V0qVLdeONN2rgwIHMkwEA9Nju1qXU5w/P0M1TBre7n+iO0qhswgzaCyjMvPnmm/rb3/6myZMnB7seAIDD1TU2q/po144QONb2/YclSePyUjTppP7BLgt9WEBhJjU1VWlpacGuBQDgcOU1dTr/iaWqrmsK+DOyUrq2Wy/gExHIQw8//LAeeOAB1dbWBrseAICDrd9V6Q8ykRGubn9lp8QxKoNuC2hk5oknntDnn3+ujIwMDR48WNHRbU8XXbt2bVCKAwA4i28J9cUFmZo3bbzF1SBcBBRmrrzySib9AkAYqW1o0pJP96u+qfm47T747IAkllAjtAIKM7Nnzw5yGQAAO/vlO5/pN8u6vu1Gbhq77iJ0uhVmIiIiOhyRSU5O1qmnnqq77rpLV199ddCKAwDYw+a91ZKkYZlJSk8+/gTdtPhoXT4mKxRlAZK6GWZee+21Dq9XVlZq1apVmjZtmhYsWKBrrrkmKMUBAOzBNxfmgctGaNLJTNCFvXQrzFx55ZWd3ps+fbpGjBihn//854QZALCpkgNHNP+D7aprPP7cl6/afaglzGSnMhcG9hPUs5mmTp2q+++/P5gfCQAIomfe/1wvrykN6NmEmEgN9BBmYD9BDTNHjx5VbCybHQGAXe08dESSdPW4bA0bmNStZ8cPSlNMVEDbkwG9KqhhZv78+Ro3blwwPxIAEES+uS/XnZGniYPZyR19Q7fCTGFhYYfXq6qqtGbNGn3++ef64IMPglIYAKCtg4fr9e3nVuuL6rqAP6O8pl4S+8Cgb+lWmFm3bl2H15OTk3XRRRdpxowZGjRoUFAKAwC0teyz/dpYVtXjz8lJjVPGCZZXA07SrTCzZMmS3qoDAHACZRUtr4imjsjQrPOHBvw5+f0TFBnBLu7oO4I6ZwYA0H2lh2q7tFT6X/tqJEnDByZrZJant8sCHIMwAwAWeu6fJXrwjc3deob5LkBbhBkAsNBH2w9JatnDxR0decL2AxLdOvvUAb1dFuAohBkAsJBvqfSca8fpghEZFlcDOBNhBgB6WemhWr33abm8xrS7t+NgyyZ2vDoCAkeYAYBeVvin9Vq9o6LT+y6XlJNGmAECRZgBgF629YvDkqTzhqUr3t3+r90zh6QpOTY61GUBfQZhBgB60eH6JlUdbZQk/fK6cUrsIMwA6Bn+qwKAAMx97zOtL608YbujrfvHeOKiCTJAL+G/LADoprLKo/r521u79cypmd07oRpA1xFmAKCbdh2slSSlJ7n146mnnLC9y+XSWUPZGwboLYQZAOimPa17wwzNSNS3JuZZXA0AwgyAsPaX9WW6//VP1NDk7fIzzd6W/WLYGwawB8IMgLC2aP0e1dQ1BfTs5JP7B7kaAIEgzAAIa77jBJ785hidnp/W5efioiPVL9HdW2UB6AbCDADHM8boX3trVNvQ/RGWsoqWMDM6x6Oc1PhglwYgBAgzABzvjx/t0v2vf9Kjz8hi/gvgWIQZAI63blelJCktIUaeuO4fC3DesHTFx/DXIeBU/NcLwPHKKlv2fXngshG6aly2xdUACDXCDADbMcboz8W7/fu5nIjvIMfsVF4VAeGIMAPAdlbvqNBdr3zc7ecGpTGBFwhHhBkAtvP5/paRlty0OJ19SteOARidk6L05NjeLAuATRFmANiOb7n0WUMH6GdXjbK4GgB2R5gBEFR/Wl2qPxeXypjAP2NH60GOzIEB0BWEGQBB9b9vb9H+mvqgfNbILE9QPgdA30aYARA0dY3N/iDzi2+NUVx0ZMCf1S/RrQmDUoNVGoA+jDADoA1jjOq7cYL0sXYcPCJJio+J1FVjs+VyuYJZGgB0iDADwK++qVmXP7Xcv29LoLJT4ggyAEImwuoCANjHtvLDPQ4ykjR1ZEYQqgGArmFkBoCfb0l0QXayXvzemQF9RoTLpQQ3f7UACB3+xgH6EGOM1pdW6tCRhoCeX7p1vyQpNzVeSbHdP7ARAKzgqDBTVFSkn/zkJ5o1a5bmzJljdTmA7SzfdkA3/m5Vjz8nh/1dADiIY8LM6tWr9eyzz2r06NFWlwLY1sayKklSv4QY5QR4TlGiO1LfnJAbzLIAoFc5IswcPnxYN9xwg+bPn6+f/exnVpcD2JZvzsv1Z+Tpx1NPtbgaAAgNR4SZW2+9VZdeeqnOP//8E4aZ+vp61dd/uftodXV1b5cH9KrX1u3Wx7urutR2+bYDklqWRgNAuLB9mHnppZe0du1arV69ukvti4qK9OCDD/ZyVUBolFfX6Ucvb+j2c0MGJPZCNQBgT7YOM6WlpZo1a5befvttxcbGdumZe++9V4WFhf6fq6urlZvL+384k+/AxdT4aF1/Rl6XnslKidPEwRwDACB82DrMFBcXq7y8XOPHj/dfa25u1rJlyzR37lzV19crMrLt2S9ut1tutzvUpQK9oqyyJcwMy0zWnRcOs7gaALAnW4eZ8847Txs3bmxz7Tvf+Y6GDRumu+++u12QAeyupq5RM/64Vvuq6rrUvqK2UZKUzVJpAOiUrcNMUlKSCgoK2lxLSEhQv3792l0HnGDZ1gP64LMD3X5uTI6nF6oBgL7B1mEG6Gt2V7S8Nvr60P764TkndemZhJgojcomzABAZxwXZt5//32rSwDaaWjyqrL2xEcIfL6/5RDHUdkeTTqpf2+XBQBhwXFhBrCbusZmnffEUpVVHu3yM1nsAwMAQUOYAXrosy8O+4NMZITrhO37J8borKEDerssAAgbhBmgh3zLp8fmpuj1WydbXA0AhB/CDPAVxTsPaWfrZnVdsbx1dRLLpwHAGoQZ4BglB47o3+etDOjZ3NTATqkGAPQMYQY4xpZ9LQeTeuKiNSY3pcvPJbojdf3pXTtuAAAQXIQZ4Bi7K1om8k4Z2l9PX3+axdUAALqCMIOw4fUa/fLdz1Ra0fl8mE1lLSMzOSydBgDHIMwgbKzecUi/fPezLrU9OT2xl6sBAAQLYQZhY+ehlhGZk9MT9c0JOZ22S4mL0RVjs0JVFgCghwgzCBtlrfNhJg5O1ffP6tq5SAAA+yPMoE+qa2zW9P9bpZIDR/zXauqaJEnZzIcBgD6FMIM+ae3OCn1UcqjDe+MHpYW4GgBAbyLMoE/a3XpW0oRBqXrwypH+66nxMRzyCAB9DGEGjtHQ5NXOg0dO3FDSprIqSdLQjESNzPL0ZlkAAIsRZuAY3/zNSq0vrezWM1keRmEAoK8jzMAR6hqb/UEmNT5aLpfrhM+kxEXrwoLMXq4MAGA1wgwcYU/rHJi46Eit/e8LuhRmAADhgTADyzU0efW3jXtUWdvYaZudB1s2vMtJjSPIAADaIMzAcm9s2KMf/3lDl9rmpcX3cjUAAKchzMByW8trJLUcMzB8YHKn7aIjXLp5Sn6oygIAOARhBpbzHTNw7cRcfffrQyyuBgDgNIQZ9Krymjo99uanqj7a+XyY4p0VkjhmAAAQGMIMetXC4jK9urasS21PyUzq5WoAAH0RYQa9atehllVIU0dk6Lzh6Z22y0tL0EkDEkNVFgCgDyHMoFf59oc5b3i6vjUxz+JqAAB9EWEG3bJowx7d99pGNTR5u9S+obmlXXYKS6oBAL2DMINuWbS+TDV1Td16JiU+WgXZnS+5BgCgJwgz6Jbdrcuon7hmjM4YktalZ/oluBUXE9mbZQEAwhhhBh0yxmjLFzU6/JVRGN+eMKNzPMpJ5dURAMB6hBl06JXi3brzlY87vZ/FnjAAAJsgzKBD60orJUmp8dFKiY9pc+8bw9KV4OZfHQCAPfAbCR3yvU665+JhLKkGANgaYSaMlR6q1V/Wl6nJa9rd27y3WhJLqgEA9keYCWMPvrFZ7/zri+O2GdSPMAMAsDfCTBjbvv+wJOmikZnqnxTT7v7ILI9y0wgzAAB7I8yEKWOMylqPGvjJJcOVxwgMAMChCDN93I4DRzT7jU3t9otpNkb1TV65XFKmJ9ai6gAA6DnCTB/3pzWlen/L/k7vn5qRpJioiBBWBABAcBFm+rjS1iXW14zP0XnD09vdP21QaqhLAgAgqAgzfUxTs7fNUuvdFbWSpHNOTddFBQOtKgsAgF5DmOlDVpUc0refW6XahuZ297JTOX4AANA3MVmiD1mypbzDIDO4X7xOzUiyoCIAAHofIzN9iO8Igv+aeoqmTxrsvx4fE6XICJdFVQEA0LsIMw5VcaRB60orZI45iWDLvhpJUn7/RCXFRltUGQAAoUWYcaibF6zWul2VHd5jfgwAIJwQZhzI6zXaVNZyEOTIrGRFRX459WloeqJGZXusKg0AgJAjzDjQgcP1amj2KsIlvX7rZEVHMo8bABC+CDMO8tYne/VRySEdOtIgScpMjiXIAADCHmHGIWobmjTzxXVqbP5yxu+QAYkWVgQAgD0QZhxid8VRNTYbxcdE6juTByvS5dIVY7OtLgsAAMsRZhzCt4fMoH4JuvPCYRZXAwCAfRBmbO6NDXv09JJtqqhtmSeTncKyawAAjkWYsbnfLi/Rp62b4UnSmByWXQMAcCzCjM2VtZ56/fi/j9LQjCSNyUmxtiAAAGyGMGNDtQ1NOlzXpPomrw4cbnm9dOHITKXEx1hcGQAA9kOYsZl/7a3WVU//U/VNXv+1+JhIeeI4awkAgI4QZmzmw+0H/UEmMsIll6R/Py1HLhenXgMA0BHCjM34lmB/d0q+7r9shMXVAABgf4QZm9iyr0ab9lSpeFeFJE6+BgCgqwgzNnC0oVlX//qfOtLQ7L+WkxpvYUUAADgHYcYGSitqdaShWTFRETpzSD9leWJ11in9rS4LAABHIMzYwO7WvWROGpCoP9x8usXVAADgLIQZixhj9NR727Tj4BHtPNgSZjiqAACA7ouwuoDjKSoq0sSJE5WUlKT09HRdddVV2rJli9VlBcXaXZV6cvFWvbq2TMU7Wyb9Ds1ItLgqAACcx9YjM0uXLtWtt96qiRMnqqmpSffdd5+mTp2qzZs3KyEhweryemTnwSOSpCEDEnTtxFzFRUfqirHZFlcFAIDz2DrMvPXWW21+fu6555Senq7i4mKdddZZFlUVHL79ZE7LS9X3zzrJ4moAAHAuW4eZr6qqqpIkpaWlddqmvr5e9fX1/p+rq6t7va7u+ue2A3pi8VZJzJMBAKCnbD1n5ljGGBUWFmrKlCkqKCjotF1RUZE8Ho//Kzc3N4RVds3Ctbv9308YnGphJQAAOJ9jwsxtt92mjz/+WC+++OJx2917772qqqryf5WWloaowq7bU9nyiunOC0/V14cOsLgaAACczRGvmWbOnKlFixZp2bJlysnJOW5bt9stt9sdosq6r7ymTh9uPyRJOj2/89dlAACga2wdZowxmjlzpl577TW9//77ys/Pt7qkHineeUj/8cxK/8/MlwEAoOdsHWZuvfVWvfDCC/rLX/6ipKQk7du3T5Lk8XgUF+e8ILCqpELGtHx/cUGmBnpirS0IAIA+wNZzZubNm6eqqiqdc845GjhwoP/r5Zdftrq0gJRVtuz0e9u5J2vetPFyuVwWVwQAgPPZemTG+IYxHMjrNfrbxr06cPjLZeJrdrTs9Jud6rxRJQAA7MrWYcbJ3t9arpkvruvwXl5afIirAQCg7yLM9JIt+w5LagkuY3JT/NdzUuN05pB+FlUFAEDfQ5jpJb75MZePGag7LxxmcTUAAPRdhJkgM8boibe36vkPd0mSslN4pQQAQG+y9WomJ/qs/LDmLtnm//nUzCQLqwEAoO8jzATZroO1/u8X3Hy6xg/i7CUAAHoTYSbIylrPXbpwZIbOPoVzlwAA6G2EmSD6aPtB/XTRJklSFkcVAAAQEoSZIHrzk33+7yed1N/CSgAACB+EmSDyvWL60fmn6IIRGRZXAwBAeCDMBNGKbQckSQXZyRZXAgBA+CDMBMn7W8p1pKFZEmcvAQAQSoSZIFm3q9L//Snp7C0DAECoEGaCxDdf5r+mnqKICJfF1QAAED4IM0Hg9Rq9UrxbEq+YAAAINcJMEHzQOvFXkgb1S7CwEgAAwg9hJgi2lR/2fz8uN8W6QgAACEOEmSAoq2iZL/P9s4bI5WK+DAAAoUSY6aGPth/U//2zRJKU5Ym1uBoAAMIPYaaH5n+w3f/9yGyPhZUAABCeCDM9tLv1FdPt5w3VxMFpFlcDAED4Icz0gDFG2w8ckSRdMWagxdUAABCeCDMBMsbo3369Qg1NXklSVgr7ywAAYAXCTICONDRrfWmlJOmM/DTFx0RZWxAAAGGKMBOg6qON/u9f+v6ZFlYCAEB4I8wEqKauSZLULyGGvWUAALAQYSZA1XUtIzNJsbxeAgDASoSZANX4w0y0xZUAABDeCDMBqj7a8popOY6RGQAArESYCZB/ZMbNyAwAAFYizASouo6RGQAA7IDfxAEaPyhVt517sgqyk60uBQCAsEaYCdCZQ/rpzCH9rC4DAICwx2smAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaIQZAADgaH3+1GxjjCSpurra4koAAEBX+X5v+36PH0+fDzM1NTWSpNzcXIsrAQAA3VVTUyOPx3PcNi7TlcjjYF6vV3v27FFSUpJcLldQP7u6ulq5ubkqLS1VcnJyUD8bX6KfQ4N+Dg36OXTo69DorX42xqimpkZZWVmKiDj+rJg+PzITERGhnJycXv3/SE5O5j+UEKCfQ4N+Dg36OXTo69DojX4+0YiMDxOAAQCAoxFmAACAoxFmesDtduunP/2p3G631aX0afRzaNDPoUE/hw59HRp26Oc+PwEYAAD0bYzMAAAARyPMAAAARyPMAAAARyPMAAAARyPMBOjXv/618vPzFRsbq/Hjx+uDDz6wuiRHKSoq0sSJE5WUlKT09HRdddVV2rJlS5s2xhjNnj1bWVlZiouL0znnnKNNmza1aVNfX6+ZM2eqf//+SkhI0BVXXKHdu3eH8o/iGEVFRXK5XLrjjjv81+jj4CkrK9O0adPUr18/xcfHa+zYsSouLvbfp697rqmpSffff7/y8/MVFxenIUOG6KGHHpLX6/W3oZ8Ds2zZMl1++eXKysqSy+XS66+/3uZ+sPq1oqJCN954ozwejzwej2688UZVVlb2/A9g0G0vvfSSiY6ONvPnzzebN282s2bNMgkJCWbnzp1Wl+YYF154oXnuuefMJ598YtavX28uvfRSk5eXZw4fPuxv89hjj5mkpCSzcOFCs3HjRvOtb33LDBw40FRXV/vb3HLLLSY7O9ssXrzYrF271px77rlmzJgxpqmpyYo/lm2tWrXKDB482IwePdrMmjXLf50+Do5Dhw6ZQYMGmW9/+9vmo48+MiUlJeadd94x27Zt87ehr3vuZz/7menXr5/561//akpKSsyf//xnk5iYaObMmeNvQz8H5u9//7u57777zMKFC40k89prr7W5H6x+veiii0xBQYFZsWKFWbFihSkoKDCXXXZZj+snzATg9NNPN7fcckuba8OGDTP33HOPRRU5X3l5uZFkli5daowxxuv1mszMTPPYY4/529TV1RmPx2OeeeYZY4wxlZWVJjo62rz00kv+NmVlZSYiIsK89dZbof0D2FhNTY0ZOnSoWbx4sTn77LP9YYY+Dp67777bTJkypdP79HVwXHrppebmm29uc+3qq68206ZNM8bQz8Hy1TATrH7dvHmzkWQ+/PBDf5uVK1caSebTTz/tUc28ZuqmhoYGFRcXa+rUqW2uT506VStWrLCoKuerqqqSJKWlpUmSSkpKtG/fvjb97Ha7dfbZZ/v7ubi4WI2NjW3aZGVlqaCggH8Wx7j11lt16aWX6vzzz29znT4OnkWLFmnChAm65pprlJ6ernHjxmn+/Pn++/R1cEyZMkXvvvuutm7dKknasGGDli9frksuuUQS/dxbgtWvK1eulMfj0RlnnOFvc+aZZ8rj8fS47/v8QZPBduDAATU3NysjI6PN9YyMDO3bt8+iqpzNGKPCwkJNmTJFBQUFkuTvy476eefOnf42MTExSk1NbdeGfxYtXnrpJa1du1arV69ud48+Dp7t27dr3rx5Kiws1E9+8hOtWrVKt99+u9xut2666Sb6OkjuvvtuVVVVadiwYYqMjFRzc7MeeeQRXXfddZL4d7q3BKtf9+3bp/T09Hafn56e3uO+J8wEyOVytfnZGNPuGrrmtttu08cff6zly5e3uxdIP/PPokVpaalmzZqlt99+W7GxsZ22o497zuv1asKECXr00UclSePGjdOmTZs0b9483XTTTf529HXPvPzyy3r++ef1wgsvaOTIkVq/fr3uuOMOZWVlafr06f529HPvCEa/dtQ+GH3Pa6Zu6t+/vyIjI9ulyPLy8napFSc2c+ZMLVq0SEuWLFFOTo7/emZmpiQdt58zMzPV0NCgioqKTtuEs+LiYpWXl2v8+PGKiopSVFSUli5dql/96leKiory9xF93HMDBw7UiBEj2lwbPny4du3aJYl/n4Plzjvv1D333KNrr71Wo0aN0o033qgf/ehHKioqkkQ/95Zg9WtmZqa++OKLdp+/f//+Hvc9YaabYmJiNH78eC1evLjN9cWLF2vSpEkWVeU8xhjddtttevXVV/Xee+8pPz+/zf38/HxlZma26eeGhgYtXbrU38/jx49XdHR0mzZ79+7VJ598wj8LSeedd542btyo9evX+78mTJigG264QevXr9eQIUPo4yCZPHlyu60Ftm7dqkGDBkni3+dgqa2tVURE219bkZGR/qXZ9HPvCFa/fu1rX1NVVZVWrVrlb/PRRx+pqqqq533fo+nDYcq3NPt3v/ud2bx5s7njjjtMQkKC2bFjh9WlOcYPf/hD4/F4zPvvv2/27t3r/6qtrfW3eeyxx4zH4zGvvvqq2bhxo7nuuus6XAqYk5Nj3nnnHbN27VrzjW98I+yXWB7PsauZjKGPg2XVqlUmKirKPPLII+azzz4zf/zjH018fLx5/vnn/W3o656bPn26yc7O9i/NfvXVV03//v3NXXfd5W9DPwempqbGrFu3zqxbt85IMk8++aRZt26df8uRYPXrRRddZEaPHm1WrlxpVq5caUaNGsXSbCs9/fTTZtCgQSYmJsacdtpp/iXF6BpJHX4999xz/jZer9f89Kc/NZmZmcbtdpuzzjrLbNy4sc3nHD161Nx2220mLS3NxMXFmcsuu8zs2rUrxH8a5/hqmKGPg+eNN94wBQUFxu12m2HDhplnn322zX36uueqq6vNrFmzTF5enomNjTVDhgwx9913n6mvr/e3oZ8Ds2TJkg7/Tp4+fboxJnj9evDgQXPDDTeYpKQkk5SUZG644QZTUVHR4/pdxhjTs7EdAAAA6zBnBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAOBphBgAAONr/B4HW6iHwyZYlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=economicofscale['Units'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d221b7e8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:14.557738Z",
     "iopub.status.busy": "2023-03-09T11:04:14.556750Z",
     "iopub.status.idle": "2023-03-09T11:04:14.848824Z",
     "shell.execute_reply": "2023-03-09T11:04:14.847411Z"
    },
    "id": "58FgXKR3iWYj",
    "outputId": "e8fc2603-0770-41a2-fb1b-6ef432a61bd0",
    "papermill": {
     "duration": 0.30703,
     "end_time": "2023-03-09T11:04:14.851851",
     "exception": false,
     "start_time": "2023-03-09T11:04:14.544821",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Cost'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=economicofscale['Cost'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57905188",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:14.875643Z",
     "iopub.status.busy": "2023-03-09T11:04:14.874819Z",
     "iopub.status.idle": "2023-03-09T11:04:14.882047Z",
     "shell.execute_reply": "2023-03-09T11:04:14.880581Z"
    },
    "id": "2vsLEeGSdXw3",
    "papermill": {
     "duration": 0.021742,
     "end_time": "2023-03-09T11:04:14.884428",
     "exception": false,
     "start_time": "2023-03-09T11:04:14.862686",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define target and features\n",
    "y = economicofscale['Cost']\n",
    "X = economicofscale[['Units']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "117c0b36",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:14.906628Z",
     "iopub.status.busy": "2023-03-09T11:04:14.906232Z",
     "iopub.status.idle": "2023-03-09T11:04:14.913851Z",
     "shell.execute_reply": "2023-03-09T11:04:14.912534Z"
    },
    "id": "_DdjVOu6ddBq",
    "outputId": "966ddc53-3a26-42bd-f3e9-0c64d06cd2a4",
    "papermill": {
     "duration": 0.021628,
     "end_time": "2023-03-09T11:04:14.916371",
     "exception": false,
     "start_time": "2023-03-09T11:04:14.894743",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 1)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f18a863",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:14.939714Z",
     "iopub.status.busy": "2023-03-09T11:04:14.939316Z",
     "iopub.status.idle": "2023-03-09T11:04:14.946002Z",
     "shell.execute_reply": "2023-03-09T11:04:14.944892Z"
    },
    "id": "LGU8EhOY9zIN",
    "outputId": "be48a5d0-10d2-4309-91b9-5bb5f8a336c5",
    "papermill": {
     "duration": 0.021275,
     "end_time": "2023-03-09T11:04:14.948315",
     "exception": false,
     "start_time": "2023-03-09T11:04:14.927040",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000,)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dea561da",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:14.972179Z",
     "iopub.status.busy": "2023-03-09T11:04:14.971339Z",
     "iopub.status.idle": "2023-03-09T11:04:15.227675Z",
     "shell.execute_reply": "2023-03-09T11:04:15.226371Z"
    },
    "id": "92sL2ul8-Qdl",
    "papermill": {
     "duration": 0.271788,
     "end_time": "2023-03-09T11:04:15.230883",
     "exception": false,
     "start_time": "2023-03-09T11:04:14.959095",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# split \n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y,random_state =2529)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "520a87c4",
   "metadata": {
    "id": "wofN4pn5HaXu",
    "papermill": {
     "duration": 0.010845,
     "end_time": "2023-03-09T11:04:15.252299",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.241454",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# **Linear Model**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6b6b835",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.278006Z",
     "iopub.status.busy": "2023-03-09T11:04:15.277087Z",
     "iopub.status.idle": "2023-03-09T11:04:15.382139Z",
     "shell.execute_reply": "2023-03-09T11:04:15.380612Z"
    },
    "id": "PjdjZhnudiPR",
    "papermill": {
     "duration": 0.12117,
     "end_time": "2023-03-09T11:04:15.385414",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.264244",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# selct model\n",
    "from sklearn.linear_model import LinearRegression\n",
    "regmodel = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccf3d585",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.410193Z",
     "iopub.status.busy": "2023-03-09T11:04:15.409629Z",
     "iopub.status.idle": "2023-03-09T11:04:15.431942Z",
     "shell.execute_reply": "2023-03-09T11:04:15.430536Z"
    },
    "id": "4Gza4PYy-0bw",
    "outputId": "950f26b8-e6f6-4457-d707-a6bab411a501",
    "papermill": {
     "duration": 0.038125,
     "end_time": "2023-03-09T11:04:15.434820",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.396695",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regmodel.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14d6d683",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.459489Z",
     "iopub.status.busy": "2023-03-09T11:04:15.458423Z",
     "iopub.status.idle": "2023-03-09T11:04:15.466793Z",
     "shell.execute_reply": "2023-03-09T11:04:15.465864Z"
    },
    "id": "I2JOtVh4-0fP",
    "outputId": "202ec837-453c-40fd-a337-dc4386fa2bb0",
    "papermill": {
     "duration": 0.023171,
     "end_time": "2023-03-09T11:04:15.468995",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.445824",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65.82998506163781"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regmodel.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "490b1d9b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.492656Z",
     "iopub.status.busy": "2023-03-09T11:04:15.492206Z",
     "iopub.status.idle": "2023-03-09T11:04:15.500322Z",
     "shell.execute_reply": "2023-03-09T11:04:15.499113Z"
    },
    "id": "qebHnvVs_Erx",
    "outputId": "0d0721ba-eb30-41da-fc14-6355ed268dda",
    "papermill": {
     "duration": 0.022591,
     "end_time": "2023-03-09T11:04:15.502676",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.480085",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-5.77565251])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regmodel.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "719ccf35",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.527464Z",
     "iopub.status.busy": "2023-03-09T11:04:15.526992Z",
     "iopub.status.idle": "2023-03-09T11:04:15.815069Z",
     "shell.execute_reply": "2023-03-09T11:04:15.813807Z"
    },
    "id": "0CT5FbpTgHOG",
    "outputId": "008972f8-531f-419a-b9f9-56aa0bc5a790",
    "papermill": {
     "duration": 0.304168,
     "end_time": "2023-03-09T11:04:15.817997",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.513829",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Unit Cost vs. Number of Units [in Millions](Training dataset)')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "ax.scatter(X_train, y_train, color = 'red')\n",
    "ax.scatter(X_train, regmodel.predict(X_train), color = 'blue')\n",
    "ax.set_ylabel('Cost Per Unit Sold [dollars]')\n",
    "ax.set_xlabel('Number of Units [in Millions]')\n",
    "ax.set_title('Unit Cost vs. Number of Units [in Millions](Training dataset)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7aec828",
   "metadata": {
    "id": "EzKsWGz9hagu",
    "papermill": {
     "duration": 0.011396,
     "end_time": "2023-03-09T11:04:15.841467",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.830071",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# **Polynomial Model**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e18e64a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.868447Z",
     "iopub.status.busy": "2023-03-09T11:04:15.867849Z",
     "iopub.status.idle": "2023-03-09T11:04:15.874224Z",
     "shell.execute_reply": "2023-03-09T11:04:15.872546Z"
    },
    "id": "EwS6JhVihdMB",
    "papermill": {
     "duration": 0.023514,
     "end_time": "2023-03-09T11:04:15.876835",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.853321",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import PolynomialFeatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1df54b7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.905224Z",
     "iopub.status.busy": "2023-03-09T11:04:15.904400Z",
     "iopub.status.idle": "2023-03-09T11:04:15.909997Z",
     "shell.execute_reply": "2023-03-09T11:04:15.908530Z"
    },
    "id": "bunMzFrahdO3",
    "papermill": {
     "duration": 0.022704,
     "end_time": "2023-03-09T11:04:15.912831",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.890127",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "poly_regressor = PolynomialFeatures(degree=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c3c04b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.941348Z",
     "iopub.status.busy": "2023-03-09T11:04:15.940587Z",
     "iopub.status.idle": "2023-03-09T11:04:15.948732Z",
     "shell.execute_reply": "2023-03-09T11:04:15.947692Z"
    },
    "id": "Z3SNpHEYhdTc",
    "papermill": {
     "duration": 0.02542,
     "end_time": "2023-03-09T11:04:15.951752",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.926332",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Transform the matrix of features X into a multi array of features X_Columns \n",
    "# which contains the original features and their associated polynomial terms \n",
    "X_poly = poly_regressor.fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e58531e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:15.980811Z",
     "iopub.status.busy": "2023-03-09T11:04:15.979649Z",
     "iopub.status.idle": "2023-03-09T11:04:15.987121Z",
     "shell.execute_reply": "2023-03-09T11:04:15.985462Z"
    },
    "id": "O9PseVX6hdXP",
    "outputId": "f913455c-b453-46e0-dad9-8c822f466607",
    "papermill": {
     "duration": 0.025465,
     "end_time": "2023-03-09T11:04:15.990286",
     "exception": false,
     "start_time": "2023-03-09T11:04:15.964821",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[  1.     1.     1.  ]\n",
      " [  1.     1.2    1.44]\n",
      " [  1.     1.2    1.44]\n",
      " ...\n",
      " [  1.     8.8   77.44]\n",
      " [  1.     8.9   79.21]\n",
      " [  1.    10.   100.  ]]\n"
     ]
    }
   ],
   "source": [
    "print(X_poly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65b9d84f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.018084Z",
     "iopub.status.busy": "2023-03-09T11:04:16.017662Z",
     "iopub.status.idle": "2023-03-09T11:04:16.025286Z",
     "shell.execute_reply": "2023-03-09T11:04:16.023913Z"
    },
    "id": "S553fDUQlYOh",
    "outputId": "9372a794-8b69-46a2-f668-f7c87a78905c",
    "papermill": {
     "duration": 0.024473,
     "end_time": "2023-03-09T11:04:16.027972",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.003499",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 3)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_poly.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2c547f0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.055468Z",
     "iopub.status.busy": "2023-03-09T11:04:16.055047Z",
     "iopub.status.idle": "2023-03-09T11:04:16.062785Z",
     "shell.execute_reply": "2023-03-09T11:04:16.061435Z"
    },
    "id": "1jZvAAv5lRw9",
    "papermill": {
     "duration": 0.024859,
     "end_time": "2023-03-09T11:04:16.065434",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.040575",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "Xp_train, Xp_test, yp_train, yp_test = train_test_split(X_poly,y,random_state =2529)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c284925",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.093976Z",
     "iopub.status.busy": "2023-03-09T11:04:16.093526Z",
     "iopub.status.idle": "2023-03-09T11:04:16.099065Z",
     "shell.execute_reply": "2023-03-09T11:04:16.097605Z"
    },
    "id": "oSOEu2fJi6ib",
    "papermill": {
     "duration": 0.022318,
     "end_time": "2023-03-09T11:04:16.101631",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.079313",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "regpoly = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8feaa0f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.128859Z",
     "iopub.status.busy": "2023-03-09T11:04:16.128434Z",
     "iopub.status.idle": "2023-03-09T11:04:16.136537Z",
     "shell.execute_reply": "2023-03-09T11:04:16.135335Z"
    },
    "id": "fTOw-T6_iohU",
    "outputId": "02d83e64-b71c-4996-8bd5-f8682609eb79",
    "papermill": {
     "duration": 0.024864,
     "end_time": "2023-03-09T11:04:16.138906",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.114042",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regpoly.fit(Xp_train, yp_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e76d3003",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.168253Z",
     "iopub.status.busy": "2023-03-09T11:04:16.167786Z",
     "iopub.status.idle": "2023-03-09T11:04:16.175493Z",
     "shell.execute_reply": "2023-03-09T11:04:16.174086Z"
    },
    "id": "Tqac2EJRiol_",
    "outputId": "e005790f-3110-4651-cad5-49b927ca8340",
    "papermill": {
     "duration": 0.025235,
     "end_time": "2023-03-09T11:04:16.177840",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.152605",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "87.06106955251003"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regpoly.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af8cfa52",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.206725Z",
     "iopub.status.busy": "2023-03-09T11:04:16.206240Z",
     "iopub.status.idle": "2023-03-09T11:04:16.213758Z",
     "shell.execute_reply": "2023-03-09T11:04:16.212811Z"
    },
    "id": "lqfHFjSQious",
    "outputId": "46669a59-b144-4268-fb3c-e46a125ed956",
    "papermill": {
     "duration": 0.025331,
     "end_time": "2023-03-09T11:04:16.215986",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.190655",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0.        , -15.6376502 ,   1.05169852])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regpoly.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "139328d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.244986Z",
     "iopub.status.busy": "2023-03-09T11:04:16.244551Z",
     "iopub.status.idle": "2023-03-09T11:04:16.550540Z",
     "shell.execute_reply": "2023-03-09T11:04:16.549307Z"
    },
    "id": "tMHASYt9ITRk",
    "outputId": "d9ab30d5-b3c1-4729-c6c8-9f76a812bf4b",
    "papermill": {
     "duration": 0.323869,
     "end_time": "2023-03-09T11:04:16.553122",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.229253",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Unit Cost vs. Number of Units [in Millions](Training dataset)')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "ax.scatter(X_train, y_train, color = 'red')\n",
    "ax.scatter(X_train, regpoly.predict(Xp_train), color = 'blue')\n",
    "ax.set_ylabel('Cost Per Unit Sold [dollars]')\n",
    "ax.set_xlabel('Number of Units [in Millions]')\n",
    "ax.set_title('Unit Cost vs. Number of Units [in Millions](Training dataset)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "35bedda1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.584709Z",
     "iopub.status.busy": "2023-03-09T11:04:16.584057Z",
     "iopub.status.idle": "2023-03-09T11:04:16.588748Z",
     "shell.execute_reply": "2023-03-09T11:04:16.587765Z"
    },
    "id": "trM-1jD8_stx",
    "papermill": {
     "duration": 0.023599,
     "end_time": "2023-03-09T11:04:16.591124",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.567525",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# predict\n",
    "yp_pred= regpoly.predict(Xp_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e479f1ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.621322Z",
     "iopub.status.busy": "2023-03-09T11:04:16.620659Z",
     "iopub.status.idle": "2023-03-09T11:04:16.626165Z",
     "shell.execute_reply": "2023-03-09T11:04:16.624551Z"
    },
    "id": "KvpjawXy_s11",
    "papermill": {
     "duration": 0.024693,
     "end_time": "2023-03-09T11:04:16.629835",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.605142",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import r2_score, mean_absolute_percentage_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "764b4f7f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.661144Z",
     "iopub.status.busy": "2023-03-09T11:04:16.659947Z",
     "iopub.status.idle": "2023-03-09T11:04:16.667546Z",
     "shell.execute_reply": "2023-03-09T11:04:16.666689Z"
    },
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    "outputId": "2b60e3ea-0073-4958-8eaf-8aa902fb371b",
    "papermill": {
     "duration": 0.025506,
     "end_time": "2023-03-09T11:04:16.669798",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.644292",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.11240980317267289"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_percentage_error(yp_test, yp_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ac49b78",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-03-09T11:04:16.700496Z",
     "iopub.status.busy": "2023-03-09T11:04:16.699728Z",
     "iopub.status.idle": "2023-03-09T11:04:16.707734Z",
     "shell.execute_reply": "2023-03-09T11:04:16.706628Z"
    },
    "id": "_PYrOQDfCgdH",
    "outputId": "88a0db25-8e32-435e-afd5-f19b8cb8c7e0",
    "papermill": {
     "duration": 0.025949,
     "end_time": "2023-03-09T11:04:16.710468",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.684519",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7139804293852907"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(yp_test, yp_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "566e098f",
   "metadata": {
    "id": "EKqTrx7GIzEb",
    "papermill": {
     "duration": 0.014507,
     "end_time": "2023-03-09T11:04:16.739091",
     "exception": false,
     "start_time": "2023-03-09T11:04:16.724584",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
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